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Articles 1 - 4 of 4
Full-Text Articles in Physical Sciences and Mathematics
A New Machine-Learning Approach For Classifying Hysteresis In Suspended-Sediment Discharge Relationships Using High-Frequency Monitoring Data, Scott D. Hamshaw, Mandar M. Dewoolkar, Andrew W. Schroth, Beverley C. Wemple, Donna M. Rizzo
A New Machine-Learning Approach For Classifying Hysteresis In Suspended-Sediment Discharge Relationships Using High-Frequency Monitoring Data, Scott D. Hamshaw, Mandar M. Dewoolkar, Andrew W. Schroth, Beverley C. Wemple, Donna M. Rizzo
College of Arts and Sciences Faculty Publications
Studying the hysteretic relationships embedded in high-frequency suspended-sediment concentration and river discharge data over 600+ storm events provides insight into the drivers and sources of riverine sediment during storm events. However, the literature to date remains limited to a simple visual classification system (linear, clockwise, counter-clockwise, and figure-eight patterns) or the collapse of hysteresis patterns to an index. This study leverages 3 years of suspended-sediment and discharge data to show proof-of-concept for automating the classification and assessment of event sediment dynamics using machine learning. Across all catchment sites, 600+ storm events were captured and classified into 14 hysteresis patterns. Event …
Modeling The Impacts Of Changing Climatic Extremes On Streamflow And Sediment Yield In A Northeastern Us Watershed, J. Stryker, B. Wemple, A. Bomblies
Modeling The Impacts Of Changing Climatic Extremes On Streamflow And Sediment Yield In A Northeastern Us Watershed, J. Stryker, B. Wemple, A. Bomblies
College of Arts and Sciences Faculty Publications
Study region: We investigate the impacts of local temperature and precipitation trends on discharge and sediment loading by applying the model to a watershed in the northeastern US, where trends in increasing precipitation exceed those of other regions in North America. Study focus: In this study we simulate the response of watershed sediment loading to changing frequencies and magnitudes of extreme precipitation events using a coupled model that explicitly simulates streambank erosion and failure within a distributed watershed model. To drive the model, we use meteorological inputs from general circulation models (GCMs) as well as from a statistical weather generator …
Tropical River Suspended Sediment And Solute Dynamics In Storms During An Extreme Drought, Kathryn E. Clark, James B. Shanley, Martha A. Scholl, Nicolas Perdrial, Julia N. Perdrial, Alain F. Plante, William H. Mcdowell
Tropical River Suspended Sediment And Solute Dynamics In Storms During An Extreme Drought, Kathryn E. Clark, James B. Shanley, Martha A. Scholl, Nicolas Perdrial, Julia N. Perdrial, Alain F. Plante, William H. Mcdowell
College of Arts and Sciences Faculty Publications
Droughts, which can strongly affect both hydrologic and biogeochemical systems, are projected to become more prevalent in the tropics in the future. We assessed the effects of an extreme drought during 2015 on stream water composition in the Luquillo Mountains of Puerto Rico. We demonstrated that drought base flow in the months leading up to the study was sourced from trade-wind orographic rainfall, suggesting a resistance to the effects of an otherwise extreme drought. In two catchments (Mameyes and Icacos), we sampled a series of four rewetting events that partially alleviated the drought. We collected and analyzed dissolved constituents (major …
Modeling Sediment Mobilization Using A Distributed Hydrological Model Coupled With A Bank Stability Model, J. Stryker, B. Wemple, A. Bomblies
Modeling Sediment Mobilization Using A Distributed Hydrological Model Coupled With A Bank Stability Model, J. Stryker, B. Wemple, A. Bomblies
College of Arts and Sciences Faculty Publications
In addition to surface erosion, stream bank erosion and failure contributes significant sediment and sediment-bound nutrients to receiving waters during high flow events. However, distributed and mechanistic simulation of stream bank sediment contribution to sediment loads in a watershed has not been achieved. Here we present a full coupling of existing distributed watershed and bank stability models and apply the resulting model to the Mad River in central Vermont. We fully coupled the Bank Stability and Toe Erosion Model (BSTEM) with the Distributed Hydrology Soil Vegetation Model (DHSVM) to allow the simulation of stream bank erosion and potential failure in …